Alternatives and similar repositories for CS228_PGM:

Users that are interested in CS228_PGM are comparing it to the libraries listed below

• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆126Updated 6 months ago
• tengyuma / cs229m_notes
  ☆222Updated 2 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆33Updated 7 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆81Updated 6 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆289Updated last year
• rll / deepul
  ☆784Updated last year
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 3 years ago
• jingwenh / Computer-Vision-CMU-16720B
  ☆28Updated 6 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆158Updated 4 years ago
• deepgenerativemodels / notes
  Course notes
  ☆674Updated 11 months ago
• philipphennig / Probabilistic_ML
  Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
  ☆147Updated last year
• Luvata / CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
  My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
  ☆41Updated last year
• Mehooz / awesome-representation-learning
  The newest reading list for representation learning
  ☆114Updated 4 years ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• LecJackS / CS-330-Deep-Multi-Task-and-Meta-Learning
  https://cs330.stanford.edu/
  ☆62Updated last year
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆78Updated 6 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆130Updated 6 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆91Updated 5 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆84Updated 2 years ago
• csquires / 6.S091-causality
  ☆182Updated 2 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆275Updated 6 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆175Updated 3 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆136Updated 2 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 3 years ago
• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆189Updated 3 years ago
• TheShadow29 / research-advice-list
  A compilation of research advice.
  ☆218Updated 4 years ago
• lucasrm25 / Probabilistic-Machine-Learning
  Repository for the course Probabilistic Machine Learning at Tübingen University
  ☆23Updated 4 years ago
• coallaoh / Principles
  ☆192Updated 4 months ago
• Huixxi / CS234-Reinforcement-Learning-Winter-2019
  My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019
  ☆167Updated last year